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岩石通常由不同组分组成,这些组分之间的类别差异与相互作用决定了岩石的宏观物理力学性质。以花岗岩为例,使用灰度阈值分割技术确定岩石中细观组分的具体类别与实际位置,使用平行连接表征颗粒间的胶结物,使用簇粒和聚粒分别表征黑云母、长石和石英,建立了考虑细观组分实际类型和分布的花岗岩颗粒流数值模拟的几何模型。结果表明:使用数字图像处理所得组分类型和位置可以作为建立数值模拟几何模型的基本数据;不同组分可以使用簇粒和聚粒来表征;不同组分的细观物理力学参数对花岗岩宏观力学行为有较大影响。由于细观组分的实际分布与细观物理力学性质控制了岩石的变形破坏过程,本文方法为研究岩石材料力学行为提供了一条新的研究途径。
Rocks usually consist of different components. The category differences and interactions between these components determine the macroscopic physical and mechanical properties of the rock. Taking granite as an example, the grayscale thresholds are used to determine the specific categories and actual locations of the mesoscale components in the rock. Parallel connections are used to characterize the intergranular cements. Clusters and aggregates are used to characterize biotite, feldspar and quartz, respectively. A geometric model of granite flow numerical simulation considering the actual type and distribution of mesostructures was established. The results show that the type and location of the components obtained by digital image processing can be used as the basic data to establish the numerical simulation geometric model. The different components can be characterized by using cluster and aggregate particles. The meso-physical and mechanical parameters of different components have great influence on the macro- Behavior has a greater impact. Because of the actual distribution of meso-component and the meso-physical and mechanical properties of rock, the method of this paper provides a new way to study the mechanical behavior of rock.